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In a year, weather can impose storm damage to a home. From year to year the damage is random. Let Y be the dollar value of damage in a given year. Assume that 95% of the year's Y=$1,000, and 5% of the years, Y=$15,000.
a. Calculate the mean and standard deviation of the damage in any year.
b. Consider an 'insurance pool' of 100 sufficiently dispersed homes, which implies the damage to dissimilar homes can be viewed as separately distributed as random variables. If ? is the average damage to those 100 homes in a year, (i) what is the expected value of the average damage? (ii) What is the probability that ? exceeds $2000?
The tab-delimited text file contains daily stock prices for the Brazilian petroleum company Petrobras from 31 December 2008 to 31 December 2009. The data were obtained from yahoo f
Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ 2 )(Use the assumptions outlined in our class and available for review in the lecture note
Problem: a) In what circumstances would you apply switching models? b) Using dummy variables for seasonality show how you would test for January effects in financial data?
the demand for blankets has been estimated y^=0.5-1.5x2+3.0x3
can you please help me build intution about it
Students in the red/black card game had to make individual deals. How would the situation change if they could bargain collectively?
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A perfectly competitive firm hires its machines at a constant rental rate of r = 5 euros per unit and its workers at a constant wage rate of w = 4 euros per unit. It can also sell
You are a logistics consultant for a rapidly growing online retail company. They plan to expand their operations to a new geographical region.Task: Develop a comprehensive logistic
1. (a) Consider a perfectly competitive industry that produces a total output of 190 units in the long run. Suppose there are n identical firms in the market. Each firm then produc
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